158 citations · 783 across the 30 of their papers we have counts for
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Hydroclimatic time series features at multiple time scales
Georgia Papacharalampous, Hristos Tyralis, Yannis Markonis +1
A comprehensive understanding of the behaviours of the various geophysical processes and an effective evaluation of time series (else referred to as "stochastic") simulation models…
Quantile-based hydrological modelling
Hristos Tyralis, Georgia Papacharalampous
Predictive uncertainty in hydrological modelling is quantified by using post-processing or Bayesian-based methods. The former methods are not straightforward and the latter ones ar…
Massive feature extraction for explaining and foretelling hydroclimatic time series forecastability at the global scale
Georgia Papacharalampous, Hristos Tyralis, Ilias G. Pechlivanidis +2
Statistical analyses and descriptive characterizations are sometimes assumed to be offering information on time series forecastability. Despite the scientific interest suggested by…
Probabilistic water demand forecasting using quantile regression algorithms
Georgia Papacharalampous, Andreas Langousis
Machine and statistical learning algorithms can be reliably automated and applied at scale. Therefore, they can constitute a considerable asset for designing practical forecasting…